Principal Software Engineer - AI

Position Summary

We are seeking an experienced Principal AI Engineer to lead cutting-edge AI initiatives that drive efficiency, automation, and intelligent decision-making in lab operations. This role will focus on developing and deploying AI-powered task automation, workflow guidance, and intelligent analytics to optimize high-throughput lab environments.

As a technical leader, you will define the AI strategy, spearhead Generative AI, deep learning, and machine learning (ML) solutions, and collaborate with cross-functional teams to transform how labs operate. This role requires deep expertise in AI model development, infrastructure optimization, and human-centered AI applications for enhancing user experience.

Primary Responsibilities

AI Leadership & Strategy

• Develop and execute a strategic roadmap for AI-driven lab operations optimization.

• Identify and implement Generative AI and deep learning models for automating and enhancing lab workflows.

• Lead research and prototyping efforts in Retrieval-Augmented Generation (RAG), prompt engineering, and fine-tuning LLMs (Large Language Models).

• Guide AI-driven solutions for task list generation, workflow guidance, and intelligent lab automation.

• Stay at the forefront of AI advancements, assessing emerging technologies for their practical application in lab operations.

Advanced AI & Machine Learning Engineering

• Architect and optimize Generative AI solutions leveraging AWS Bedrock, SageMaker, and ML frameworks (PyTorch, TensorFlow, Scikit-learn).

• Develop and fine-tune custom LLMs to enhance workflow automation and decision support.

• Build real-time AI-powered applications to provide contextual recommendations and predictive insights in lab environments.

• Ensure scalability, security, and efficiency of AI/ML models for high-throughput lab operations.

• Implement MLOps best practices, including automated model training, validation, and deployment pipelines.

Software Engineering & Intelligent User Experience

• Design full-stack AI-driven applications that integrate workflow automation, task management, and decision support.

• Develop interactive dashboards and AI-driven user interfaces that enhance lab efficiency.

• Implement AI-powered guidance tools that assist lab personnel in navigating complex workflows.

• Work on backend AI services and front-end applications to deliver seamless AI-driven experiences.

Cross-Functional Collaboration & Thought Leadership

• Work closely with data scientists, software engineers, and lab personnel to define and execute AI solutions.

• Lead internal and external teams in the development and deployment of Generative AI applications.

• Educate technical and business leaders on AI/ML capabilities and strategic applications.

• Advocate for and implement responsible AI practices, ensuring compliance with regulatory requirements.

Qualifications & Skills

Required Experience

• 12+ years of experience in software development.

• Expertise in Python, Java, SQL, and AI/ML frameworks (PyTorch, TensorFlow, Keras, Scikit-learn).

• Proven experience fine-tuning LLMs, developing RAG systems, and working with Generative AI.

• 8+ years of hands-on experience deploying ML models in production using AWS SageMaker, Bedrock, or similar cloud AI platforms.

• Strong background in task automation, workflow optimization, and real-time AI applications.

• Deep expertise in cloud computing (AWS) and MLOps best practices.

• Strong problem-solving skills with a strategic mindset for AI adoption and innovation.

Preferred Skills & Experience

• Experience with custom LIMS/LES development and AI-driven lab automation.

• Familiarity with regulatory compliance and security standards in healthcare and life sciences.